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Releases: lanpa/tensorboardX

release v1.5

04 Apr 11:53
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  • Add API for Custom scalar
  • Add support for logging directly to S3
  • Add support for Caffe2 graph
  • Pytorch 1.0.0 JIT graph support (alpha-release)

release v1.2

28 Apr 14:37
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  • Supports tensorshape information and show node name in graph visualization. This requires pytorch==0.4
  • Adds add_video function. You can play video clip now
  • Better embedding function

People who use pytorch==0.3.1 should use tensorboardX==1.1
People who use pytorch==0.4 should use tensorboardX==1.2

release v1.0

18 Jan 12:41
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Major Tensorboard features are ready:
audio, scalar, distribution, graph, histogram, image, pr curve, projector, text (markdown).

TensorboardX

10 Nov 14:28
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Some important change since v0.6:

  • The package name is changed from tensorboard to tensorboardX to prevent from name collision with official tensorboard. (which leads to import error, ...etc) The name tensorboardX means tensorboard for X. I hope this package can be used by other DL frameworks such as mxnet, chainer as well. This is achieved by wrapping an make_np() call to function arguments. In fact, you can log experiment if you use tensorflow's eager mode.

  • Removes dependency for tensorflow and torchvision to make this package much neutral.

  • For other changes, see the commit log or HISTORY.rst

All tensorboard functions are implemented.

26 Jul 09:35
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